Artikel
Removing specification errors from the usual formulation of binary choice models
We develop a procedure for removing four major specification errors from the usual formulation of binary choice models. The model that results from this procedure is different from the conventional probit and logit models. This difference arises as a direct consequence of our relaxation of the usual assumption that omitted regressors constituting the error term of a latent linear regression model do not introduce omitted regressor biases into the coefficients of the included regressors.
- Language
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Englisch
- Bibliographic citation
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Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 4 ; Year: 2016 ; Issue: 2 ; Pages: 1-21 ; Basel: MDPI
- Classification
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Wirtschaft
Estimation: General
Model Construction and Estimation
- Subject
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binary choice models
specification errors
stochastic coefficients
- Event
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Geistige Schöpfung
- (who)
-
Swamy, Paravastu A. V. B.
Chang, I-Lok
Mehta, Jatinder S.
Greene, William H.
Hall, Stephen G.
Tavlas, George S.
- Event
-
Veröffentlichung
- (who)
-
MDPI
- (where)
-
Basel
- (when)
-
2016
- DOI
-
doi:10.3390/econometrics4020026
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Swamy, Paravastu A. V. B.
- Chang, I-Lok
- Mehta, Jatinder S.
- Greene, William H.
- Hall, Stephen G.
- Tavlas, George S.
- MDPI
Time of origin
- 2016
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